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A library for spelling-correction based on Levenshtein Automata.
package com.github.liblevenshtein.distance;
import com.github.liblevenshtein.collection.SymmetricImmutablePair;
/**
* Memoizes the distance between two terms, where the distance is calculated
* using the standard Levenshtein distance, including the elementary operations
* of insertion, deletion and substitution.
* @author Dylon Edwards
* @since 2.1.0
*/
public class MemoizedStandard extends AbstractMemoized {
private static final long serialVersionUID = 1L;
/**
* {@inheritDoc}
*/
@Override
@SuppressWarnings("checkstyle:finalparameters")
public int memoizedDistance(String v, String w) {
SymmetricImmutablePair key = new SymmetricImmutablePair<>(v, w);
int distance = memo.getOrDefault(key, DEFAULT_RETURN_VALUE);
if (distance != DEFAULT_RETURN_VALUE) {
return distance;
}
if (v.isEmpty()) {
distance = w.length();
memo.put(key, distance);
return distance;
}
if (w.isEmpty()) {
distance = v.length();
memo.put(key, distance);
return distance;
}
char a = v.charAt(0); String s = v.substring(1);
char b = w.charAt(0); String t = w.substring(1);
// Discard identical characters
while (a == b && s.length() > 0 && t.length() > 0) {
a = s.charAt(0); v = s; s = v.substring(1);
b = t.charAt(0); w = t; t = w.substring(1);
}
// s.length() == 0 or t.length() == 0
if (a == b) {
distance = s.isEmpty() ? t.length() : s.length();
memo.put(key, distance);
return distance;
}
distance = memoizedDistance(s, w);
if (0 == distance) {
memo.put(key, 1);
return 1;
}
int minDistance = distance;
distance = memoizedDistance(v, t);
if (0 == distance) {
memo.put(key, 1);
return 1;
}
if (distance < minDistance) {
minDistance = distance;
}
distance = memoizedDistance(s, t);
if (0 == distance) {
memo.put(key, 1);
return 1;
}
if (distance < minDistance) {
minDistance = distance;
}
distance = 1 + minDistance;
memo.put(key, distance);
return distance;
}
}